Artificial intelligence is more famous than ever, thanks to the amazing breakthroughs in image creation, writing and similar skills. Even when searching YouTube and Instagram and even when applying for a job hesitant We communicate with artificial intelligence.

Although we currently use this technology regularly, where do you come from And how it has developed either we don’t know, or we don’t care. Have you ever wondered how everything works in this industry?

The more data you feed the artificial intelligence, the more the learning ability improves. The learning logic can be compared to throwing coal into a locomotive.

But every time the coal is thrown, the locomotive know coal And imitateand after that to produce coal Remember it started.

This learning process, in which artificial intelligence needs as much data as possible, machine learning it is called.

To make machine learning happen, as above thousands of similar images You may need to use

Artificial intelligence during machine learning with brain cells creates databases. To the parts that resemble this brain cell Artificial Neural Networks Also called. Thanks to this, artificial intelligence begins to recognize what is shown to it over time. That too deep learning to attempt. Deep learning has layers like above.

Now let’s take a simple example. In this way we reinforce the differences of these three different concepts.

Let’s take an AI that creates images like Midjourney. Let it be called “Tablebot”. This artificial intelligence, The resulting product will be itself.

To train Tablobot, you need images and photos. This learning process from Tablobot is machine learning.

The more images you give Tablobot, the better it remembers what to do, creates its own database. Think of the database as a brain. The brain is a very “deep” and complex database. Everything learned is stored here. That’s why we call it deep learning.

In brief machine learning, learning ability of artificial intelligence. deep learning, the part that deals with the database or brain of machine learning. Artificial intelligence is the final product.

Now that we’ve eliminated the differences, let’s get to the conclusion.

• to Tablobot 50,000 images Let’s say we gave it, now it’s ready to use. From this point, he can create images like the one above. All that remains is to give instructions.
• table bone, machine learning And deep learning transcended its stages.
• Congratulations! Tablobot is now an artificial intelligence!

Of course, as with any technological breakthrough, artificial intelligence has its pros and cons. It will probably put millions of people around the world out of work because it can do some jobs that people can do.

The general view of artificial intelligence is positive for now. Which even doctors don’t realize Artificial intelligence, which can detect traces of disease, create practical routes for us in our cluttered cities, and have many more benefits, just at the beginning of the road.

But we must not forget that artificial intelligence is an industry and technology that can make history for most people’s professions as they develop. For this reason It is possible to cause a major wave of unemployment.